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KDD
2007
ACM
210views Data Mining» more  KDD 2007»
16 years 12 days ago
Machine learning for stock selection
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
Robert J. Yan, Charles X. Ling
DKE
2006
118views more  DKE 2006»
15 years 6 months ago
KDDML: A middleware language and system for knowledge discovery in databases
KDDML (KDD Markup Language) is a middleware language and system designed to support the development of final applications or higher level systems which deploy a mixture of data acc...
Andrea Romei, Salvatore Ruggieri, Franco Turini
JDCTA
2010
464views more  JDCTA 2010»
15 years 1 months ago
A New Agglomerative Hierarchical Clustering Algorithm Implementation based on the Map Reduce Framework
Text clustering is one of the difficult and hot research fields in the text mining research. Combing Map Reduce framework and the neuron initialization method of VPSOM (vector pre...
Hui Gao, Jun Jiang, Li She, Yan Fu
AUSAI
2006
Springer
15 years 10 months ago
Polynomial Pipelined Neural Network and Its Application to Financial Time Series Prediction
A novel type of higher order pipelined neural network, the polynomial pipelined neural network, is presented. The network is constructed from a number of higher order neural networ...
Abir Jaafar Hussain, Adam Knowles, Paulo J. G. Lis...
ICCTA
2007
IEEE
15 years 6 months ago
Digital Signal Types Identification Using a Hierarchical SVM-Based Classifier and Efficient Features
Automatic digital signal type identification (ADSTI) is an important topic for both military and civilian communication applications. Most of proposed techniques (identifiers) can...
Ataollah Ebrahimzadeh, Seyed Alireza Seyedin